毛乌素沙区1961-2016年降水特征     

张雪琴  刘树林  冯坤  郭紫晨  康文平  陈翔  支莹 《中国沙漠》2019,39(6):141-150

基于毛乌素沙区10个气象站1961-2016年观测资料，应用Mann-Kendall方法和t检验法对各气象站年降水量进行了突变检验，借助小波分析讨论了各气象站年降水量的周期特征，根据降水量等值线划分结果对整个研究区分区分析了年、季、月和日尺度上的降水变化特征，并在两个时段上分析了季节性降水的差异。结果表明：毛乌素沙区年降水量空间特征差异明显，东部亚区呈上升趋势，中西部亚区呈下降趋势，但变化趋势不显著且无突变发生；降水年内分配不均，干湿季分明，降水集中在5-9月，夏秋季降水占全年降水比重大，季、月和日尺度降水量存在梯度递减变化；年降水量的年际变化过程存在多重时间尺度的自相似结构；近26年的冬春季降水增加显著，但降水波动幅度小于前30年。  相似文献   

Parallelization of the flow-path network model using a particle-set strategy     

Fangli Zhang 《International journal of geographical information science》2019,33(10):1984-2010

High-performance simulation of flow dynamics remains a major challenge in the use of physical-based, fully distributed hydrologic models. Parallel computing has been widely used to overcome efficiency limitation by partitioning a basin into sub-basins and executing calculations among multiple processors. However, existing partition-based parallelization strategies are still hampered by the dependency between inter-connected sub-basins. This study proposed a particle-set strategy to parallelize the flow-path network (FPN) model for achieving higher performance in the simulation of flow dynamics. The FPN model replaced the hydrological calculations on sub-basins with the movements of water packages along the upstream and downstream flow paths. Unlike previous partition-based task decomposition approaches, the proposed particle-set strategy decomposes the computational workload by randomly allocating runoff particles to concurrent computing processors. Simulation experiments of the flow routing process were undertaken to validate the developed particle-set FPN model. The outcomes of hourly outlet discharges were compared with field gauged records, and up to 128 computing processors were tested to explore its speedup capability in parallel computing. The experimental results showed that the proposed framework can achieve similar prediction accuracy and parallel efficiency to that of the Triangulated Irregular Network (TIN)-based Real-Time Integrated Basin Simulator (tRIBS).  相似文献   

车辆碾压作用下戈壁地表起尘浓度   总被引：1，自引：1，他引：0  

孟小楠  严平  王振亭  董苗  王勇 《中国沙漠》2019,39(1):80-87

通过野外观测车辆碾压作用下戈壁地表PM₁₀释放浓度，探讨其主要影响因素。针对戈壁区砾石、砂砾、砂质和砂土4种路面类型，应用TSI粉尘仪多次重复观测车辆碾压产生的PM₁₀浓度，进而阐明碾压次数、车速和地表水分等因素对起尘浓度的影响。结果表明：4种路面的平均起尘浓度依次为5.339、9.089、16.944、50.251 mg·m^-3，是自然状态下的5~50倍；起尘浓度随碾压次数增多而增大，其中砂土路情况下的增长最显著；随土层厚度的增大呈现出幂函数的增长趋势；降雨后路面起尘浓度显著减小，且降雨量会影响降雨后起尘浓度的变化趋势。最后提出了针对性的建议和措施以减弱车辆碾压导致的戈壁地表起尘。  相似文献   

激光测高数据辅助卫星成像几何模型精化处理     

曹宁  周平  王霞  唐新明  李国元 《遥感学报》2019,23(2):291-302

资源三号02星搭载了中国首个对地观测试验性激光测高载荷。借鉴目前较成熟的卫星影像区域网平差理论的基础上,结合近年来激光测高数据精度的大幅提升以及资源三号02星激光测高数据的特点,首次提出了激光测高数据辅助卫星立体影像进行成像几何模型精化处理的通用理论。首先,利用传统的区域网平差算法对所处理影像进行高精度连接点匹配处理,并对其进行无约束的自由网平差处理,获得高精度相对精度及不亚于原始成像几何模型的绝对精度;其次,根据激光测高数据3维坐标和精化后参考影像成像几何模型获取激光数据参考影像坐标;而后将参考影像坐标通过几何模型映射获取目标影像上待匹配影像坐标,通过连接点匹配算法,对待匹配目标影像坐标进行精化获取高精度像方同名点;最后,以同名点作为高程控制进行区域网平差计算,对影像成像几何模型进一步处理,获取高精度补偿参数。通过湖北、青海两测区的试验,以激光测高数据辅助卫星影像几何模型精化精度可分别达到1.97 m、3.23 m,结果表明本文提出的方法可有效提高卫星立体数据测图精度。  相似文献   

Forecasting Copper Prices Using Hybrid Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms     

Alameer  Zakaria  Elaziz  Mohamed Abd  Ewees  Ahmed A.  Ye  Haiwang  Jianhua  Zhang 《Natural Resources Research》2019,28(4):1385-1401

Natural Resources Research - An accurate forecasting model for the price volatility of minerals plays a vital role in future investments and decisions for mining projects and related companies. In...  相似文献   

Geophysical Signature of the Shallow Water Flow in the Deepwater Basin of the Northern South China Sea     

Xiaohua Zhang  Yunbao Sun  Shiguo Wu 《中国海洋大学学报(英文版)》2018,17(4):791-798

Shallow water flow (SWF), a disastrous geohazard in the continental margin, has threatened deepwater drilling operations. Under overpressure conditions, continual flow delivering unconsolidated sands upward in the shallow layer below the seafloor may cause large and long-lasting uncontrolled flows; these flows may lead to control problems and cause well damage and foundation failure. Eruptions from over-pressured sands may result in seafloor craters, mounds, and cracks. Detailed studies of 2D/3D seismic data from a slope basin of the South China Sea (SCS) indicated the potential presence of SWF. It is commonly characterized by lower elastic impedance, a higher Vp/Vs ratio, and a higher Poisson’s ratio than that for the surrounding sediments. Analysis of geological data indicated the SWF zone originated from a deepwater channel system with gas bearing over-pressured fluid flow and a high sedimentation rate. We proposed a fluid flow model for SWF that clearly identifies its stress and pressure changes. The rupture of previous SWF zones caused the fluid flow that occurred in the Baiyun Sag of the northern SCS.  相似文献   

Regional Characteristics and Causes of Haze Events in Northeast China     

Weiwei Chen  Shichun Zhang  Quansong Tong  Xuelei Zhang  Hongmei Zhao  Siqi Ma  Aijun Xiu  Yuexin He 《中国地理科学(英文版)》2018,28(5):836-850

Northeast China experiences severe atmospheric pollution, with an increasing occurrence of heavy haze episodes. However, the underlying forces driving haze formation during different seasons are poorly understood. In this study, we explored the spatio-temporal characteristics and causes of haze events in Northeast China by combining a range of data sources(i.e., ground monitoring, satellite-based products, and meteorological products). It was found that the ‘Shenyang-Changchun-Harbin(SCH)'city belt was the most polluted area in the region on an annual scale. The spatial distribution of air quality index(AQI) values had a clear seasonality, with the worst pollution occurring in winter, an approximately oval-shaped polluted area around western Jilin Province in spring, and the best air quality occurring in summer and most of the autumn. The three periods that typically experienced intense haze events were Period I from mid-October to mid-November(i.e., late autumn and early winter), Period II from late-December to February(i.e., the coldest time in winter), and Period III from April to mid-May(i.e., spring). During Period I, strong PM_(2.5) emissions from seasonal crop residue burning and coal burning for winter heating were the dominant reasons for the occurrence of extreme haze events(AQI 300). Period II had frequent heavy haze events(200 AQI 300) in the coldest months of January and February, which were due to high PM_(2.5) emissions from coal burning and vehicle fuel consumption, a lower atmospheric boundary layer, and stagnant atmospheric conditions. Haze events in Period III, with high PM_(10) concentrations, were primarily caused by the regional transportation of windblown dust from degraded grassland in central Inner Mongolia and bare soil in western Jilin Province. Local agricultural tilling could also release PM_(10) and enhance the levels of windblown dust from tilled soil. Better control of coal burning, fuel consumption, and crop residue burning in winter and autumn is urgently needed to address the haze problem in Northeast China.  相似文献   

海水中铯-137的γ能谱测量不确定度评估     

魏计房  邓春梅  王荣元  王伟  张馨星  姚海燕  张蒙蒙  丁凯 《海洋学报》2018,40(8):20-28

为科学评价测量结果的可靠性，对海水中137Cs γ能谱分析方法的不确定度进行了评估。根据《化学分析中不确定度的评估指南》，分析不确定度的来源并逐一对各不确定度分量进行了量化，最终计算了合成相对标准不确定度。结果表明，影响海水中137Cs γ能谱测量不确定度的因素分别为样品源137Cs峰区计数、标准源活度、取样体积、化学回收率、本底137Cs峰区计数及标准源137Cs峰区计数，其中样品源137Cs峰区计数的不确定度贡献最为突出。对于137Cs活度浓度为1.28 mBq/L的海水样品，其合成相对标准不确定度为9.78%。  相似文献   

基于多源遥感数据的日本海内波特征研究   总被引：2，自引：1，他引：1  

孙丽娜  张杰  孟俊敏  王晶  张旭东 《海洋学报》2018,40(3):102-111

日本海特殊的地理位置和复杂的地形使得该海域内波表征极为复杂，遥感是大范围观测内波的有效手段，已被广泛应用于内波的探测研究。本文利用MODIS、GF-1和ENVISAT ASAR遥感影像，开展了日本海内波特征研究。通过提取内波波峰线，生成了日本海内波空间分布图；获取了内波的波峰线长度和传播速度，并基于非线性薛定谔方程反演了内波振幅。研究结果表明，日本海内波分布范围宽广，不仅大陆架沿海区内波分布密集，深海盆地也探测到了大量内波；日本海北部45°N附近海域有少量内波出现，利用高分影像探测到朝鲜陆架浅海区有大量小尺度内波，大和海盆、大和隆起的西南部海域没有发现内波。日本海内波波峰线长达100多千米，深海区的传播速度大于1 m/s；浅海区内波振幅约10 m左右，深海区可达60 m以上。  相似文献   

Effect of Aspect on Climate Variation in Mountain Ranges of Shennongjia Massif,Central China     

Yi Zhang 《中国地理科学(英文版)》2018,28(1):74-85

The aim of this study was to better understand the mechanisms of regional climate variation in mountain ranges with contrasting aspects as mediated by changes in global climate. It may help predict trends of vegetation variations in native ecosystems in natural reserves. As measures of climate response, temperature and precipitation data from the north, east, and south-facing mountain ranges of Shennongjia Massif in the coldest and hottest months(January and July), different seasons(spring, summer, autumn, and winter) and each year were analyzed from a long-term dataset(1960 to 2003) to tested variations characteristics, temporal and spatial quantitative relationships of climates. The results showed that the average seasonal temperatures and precipitation in the north, east, and south aspects of the mountain ranges changed at different rates. The average seasonal temperatures change rate ranges in the north, east, and south-facing mountain ranges were from –0.0210℃/yr to 0.0143℃/yr, –0.0166℃/yr to 0.0311℃/yr, and –0.0290 ℃/yr to 0.0084℃/yr, respectively, and seasonal precipitation variation magnitude were from –1.4940 mm/yr to 0.6217 mm/yr, –1.6833 mm/yr to 2.6182 mm/yr, and –0.8567 mm/yr to 1.4077 mm/yr, respectively. The climates variation trend among the three mountain ranges were different in magnitude and direction, showing a complicated change of the climates in mountain ranges and some inconsistency with general trends in global climate change. The climate variations were significantly different and positively correlated cross mountain ranges, revealing that aspects significantly affected on climate variations and these variations resulted from a larger air circulation system, which were sensitive to global climate change. We conclude that location and terrain of aspect are the main factors affecting differences in climate variation among the mountain ranges with contrasting aspects.  相似文献